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DONG Shao-Chan, ZHOU Min-Qi, ZHANG Rong, ZHOU Ao-Ying. In-memory index: Performance enhancement techniques leveraging on processors[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 192-206. doi: 10.3969/j.issn.1000-5641.2014.05.017
Citation:
DONG Shao-Chan, ZHOU Min-Qi, ZHANG Rong, ZHOU Ao-Ying. In-memory index: Performance enhancement techniques leveraging on processors[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 192-206. doi: 10.3969/j.issn.1000-5641.2014.05.017
DONG Shao-Chan, ZHOU Min-Qi, ZHANG Rong, ZHOU Ao-Ying. In-memory index: Performance enhancement techniques leveraging on processors[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 192-206. doi: 10.3969/j.issn.1000-5641.2014.05.017
Citation:
DONG Shao-Chan, ZHOU Min-Qi, ZHANG Rong, ZHOU Ao-Ying. In-memory index: Performance enhancement techniques leveraging on processors[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 192-206. doi: 10.3969/j.issn.1000-5641.2014.05.017
As main memory capacities grows larger and larger, the memory era has arrived and inmemory databases have taken the place of traditional diskbased databases to provide efficient data management. In this paper, we analyzed the fundamental elements in inmemory index designing: summarized and evaluated the existing index structures, pointing out the future opportunities and challenges based on the development trend of current applications. Finally, we introduced our ongoing distributed inmemory index studies on the Cluster Aware InMemory System (CLAIMS).
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